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Database management

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We model platform competition with endogenous data generation, collection, and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data are jointly produced from users' economic activities and platforms' investments in data infrastructure. Data improves service quality, causing a feedback loop that tends to concentrate market power. Dispersed users do not internalize the impact of their data contribution on (i) service quality for other users, (ii) market concentration, and (iii) platforms' incentives to invest in data infrastructure, causing inefficient over- or under-collection of data. Data sharing proposals, user privacy protections, platform commitments, and markets for data cannot fully address these inefficiencies. We introduce and analyze user union, which represents and coordinates users, as a potential option for antitrust and consumer protection in the digital era.

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We develop a dynamic contracting theory of asset- and cash flow-based financing that demonstrates how firm, intermediary, and capital market characteristics shape firms' financing constraints. A firm with imperfect access to equity financing covers financing needs through costly sources--an intermediary and retained cash. The firm's financing capacity is endogenously determined by either the liquidation value of assets (asset-based) or the intermediary's going-concern valuation of the firm's cash flows (cash flow-based). We implement the optimal contract between the firm and intermediary with both unsecured and secured debt (credit lines) in an overlapping pecking order: the firm simultaneously finances cash flow shortfalls with unsecured debt and either cash reserves (if available) or secured debt (otherwise). Improved access to equity financing increases debt capacity, thus debt and equity are dynamic complements. When the firm does well, it repays its debt in full, while when in distress, repayment dynamics mirror U.S. bankruptcy procedures.